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Geochemical Mechanics and Deep Neural Network Modeling = Applications to Earthquake Prediction /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Geochemical Mechanics and Deep Neural Network Modeling/ by Mitsuhiro Toriumi.
其他題名:	Applications to Earthquake Prediction /
作者:	Toriumi, Mitsuhiro.
面頁冊數:	XIII, 274 p. 223 illus., 209 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Natural Hazards. -
電子資源:	https://doi.org/10.1007/978-981-19-3659-3
ISBN:	9789811936593

Geochemical Mechanics and Deep Neural Network Modeling = Applications to Earthquake Prediction /
Toriumi, Mitsuhiro.

Geochemical Mechanics and Deep Neural Network ModelingApplications to Earthquake Prediction /[electronic resource] :by Mitsuhiro Toriumi. - 1st ed. 2022. - XIII, 274 p. 223 illus., 209 illus. in color.online resource. - Advances in Geological Science,2524-3837. - Advances in Geological Science,.

Introduction -- Mechanics of Crack Sealing with Fluid Flow in the Plate Boundary -- Large Scale Permeable Convection of the Plate Boundary Zone -- Rapid Process of Massive Extrusion of Plate Boundary Rocks -- Mechanics by Synchronous GRACE Gravity, Earth Rotation, Plate Velocity and Global Correlated Seismicity -- Gaussian Network Model of Global Seismicity -- Prediction Testing of Plate Boundary Earthquake by Global DCNN and VAE-CNN Modeling -- Concluding Remarks.

The recent understandings about global earth mechanics are widely based on huge amounts of monitoring data accumulated using global networks of precise seismic stations, satellite monitoring of gravity, very large baseline interferometry, and the Global Positioning System. New discoveries in materials sciences of rocks and minerals and of rock deformation with fluid water in the earth also provide essential information. This book presents recent work on natural geometry, spatial and temporal distribution patterns of various cracks sealed by minerals, and time scales of their crack sealing in the plate boundary. Furthermore, the book includes a challenging investigation of stochastic earthquake prediction testing by means of the updated deep machine learning of a convolutional neural network with multi-labeling of large earthquakes and of the generative autoencoder modeling of global correlated seismicity. Their manifestation in this book contributes to the development of human society resilient from natural hazards. Presented here are (1) mechanics of natural crack sealing and fluid flow in the plate boundary regions, (2) large-scale permeable convection of the plate boundary, (3) the rapid process of massive extrusion of plate boundary rocks, (4) synchronous satellite gravity and global correlated seismicity, (5) Gaussian network dynamics of global correlated seismicity, and (6) prediction testing of plate boundary earthquakes by machine learning and generative autoencoders.

ISBN: 9789811936593

Standard No.: 10.1007/978-981-19-3659-3doiSubjects--Topical Terms:

784090
Natural Hazards.

LC Class. No.: QE514-516.5

Dewey Class. No.: 551.9

Geochemical Mechanics and Deep Neural Network Modeling = Applications to Earthquake Prediction /
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